code: def get_mock_render(  # pytype: disable=annotation-type-mismatch  # numpy-scalars
      img_dtype: np.dtype = np.float32, img_fill_value: float = 0.0
  ) -> Callable[[int, int, int], np.ndarray]:
      def mock_render(height: int, width: int, camera_id: int = 0):
          del camera_id  # Unused
          return np.full(
              (height, width, 3), img_fill_value, dtype=img_dtype
          )
  
      return mock_render
  
imports: import collections
  from typing import Callable, Mapping
  from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  from dm_control import suite
  from dm_control.rl import control
  import dm_env
  from dm_env import specs
  from dopamine.labs.sac_from_pixels import deepmind_control_lib
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: get_mock_render(img_dtype, img_fill_value) and returns: mock_render, np